Triple
T34917620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Kelly Bottle House |
E1007046
|
entity |
| Predicate | hasMaterialSource |
P53073
|
FINISHED |
| Object | discarded glass bottles from the town |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: discarded glass bottles from the town | Statement: [Tom Kelly Bottle House, hasMaterialSource, discarded glass bottles from the town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialSource Context triple: [Tom Kelly Bottle House, hasMaterialSource, discarded glass bottles from the town]
-
A.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
B.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
C.
materialSource
chosen
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
D.
hasSourceMaterialSuccessFactor
Indicates that something derives a contributing success factor from a particular source material.
-
E.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01d7b3ce8c8190b2f90be730505765 |
completed | May 11, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_6a01d5115a6c8190a6d9f96ec484135a |
completed | May 11, 2026, 1:09 p.m. |
Created at: May 3, 2026, 4 p.m.